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Bayesian sparse hidden components analysis for transcription regulation networks

Bioinformatics, 2006-03, Vol.22 (6), p.739-746

2006

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MULTILAYER KNOCKOFF FILTER: CONTROLLED VARIABLE SELECTION AT MULTIPLE RESOLUTIONS

The annals of applied statistics, 2019-03, Vol.13 (1), p.1-33

2019

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Filtering the Rejection Set While Preserving False Discovery Rate Control

Journal of the American Statistical Association, 2023, Vol.118 (541), p.165-176

2023

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Selection-adjusted inference: an application to confidence intervals for cis-eQTL effect sizes

Biostatistics (Oxford, England), 2021-01, Vol.22 (1), p.181-197

2021

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Discussion of the Paper "Prediction, Estimation, and Attribution" by B. Efron

Journal of the American Statistical Association, 2020-04, Vol.115 (530), p.656-658

2020

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SLOPE—ADAPTIVE VARIABLE SELECTION VIA CONVEX OPTIMIZATION

The annals of applied statistics, 2015-09, Vol.9 (3), p.1103-1140

2015

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Data Science in a Time of Crisis: Lessons from the Pandemic

Statistical science, 2022-05, Vol.37 (2), p.160

2022

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Hypotheses on a tree: new error rates and testing strategies

Biometrika, 2021-09, Vol.108 (3), p.575-590

2021

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Empirical Bayes Estimation of a Sparse Vector of Gene Expression Changes

Statistical Applications in Genetics and Molecular Biology, 2005-09, Vol.4 (1), p.22-Article22

2005

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Discussion of the Paper “Prediction, Estimation, and Attribution” by B. Efron

International statistical review, 2020-12, Vol.88 (S1), p.S60-S63

2020

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Detecting multiple replicating signals using adaptive filtering procedures

The Annals of statistics, 2022-08, Vol.50 (4), p.1890

2022

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Transfer Learning in Genome-Wide Association Studies with Knockoffs

Sankhyā. Series B (2008), 2022-11

2022

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Bayesian Gaussian Mixture Models for High-Density Genotyping Arrays

Journal of the American Statistical Association, 2008-03, Vol.103 (481), p.89-100

2008

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Likelihood-Based Inference on Haplotype Effects in Genetic Association Studies

Journal of the American Statistical Association, 2006-03, Vol.101 (473), p.89-104

2006

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RECONSTRUCTING DNA COPY NUMBER BY PENALIZED ESTIMATION AND IMPUTATION

The annals of applied statistics, 2010-12, Vol.4 (4), p.1749-1773

2010

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Semilinear High-Dimensional Model for Normalization of Microarray Data: A Theoretical Analysis and Partial Consistency

Journal of the American Statistical Association, 2005-09, Vol.100 (471), p.781-796

2005

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Generalised Gibbs sampler and multigrid Monte Carlo for Bayesian computation

Biometrika, 2000-06, Vol.87 (2), p.353-369

2000

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SPARSE REGULATORY NETWORKS

The annals of applied statistics, 2010-06, Vol.4 (2), p.663-686

2010

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Measuring Dependency With Volume Tests

The American statistician, 2002-08, Vol.56 (3), p.191-195

Sabatti, Chiara

2002

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Vocabulon: a dictionary model approach for reconstruction and localization of transcription factor binding sites

Bioinformatics, 2005-04, Vol.21 (7), p.922-931

2005

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A generalized framework for network component analysis

IEEE/ACM transactions on computational biology and bioinformatics, 2005-10, Vol.2 (4), p.289-301

2005

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Reconstructing ancestral haplotypes with a dictionary model

Journal of computational biology, 2006-04, Vol.13 (3), p.767-785

2006

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Bayesian sparse hidden components analysis for transcription regulation networks

MULTILAYER KNOCKOFF FILTER: CONTROLLED VARIABLE SELECTION AT MULTIPLE RESOLUTIONS

Filtering the Rejection Set While Preserving False Discovery Rate Control

Selection-adjusted inference: an application to confidence intervals for cis-eQTL effect sizes

Discussion of the Paper "Prediction, Estimation, and Attribution" by B. Efron

SLOPE—ADAPTIVE VARIABLE SELECTION VIA CONVEX OPTIMIZATION

Data Science in a Time of Crisis: Lessons from the Pandemic

Hypotheses on a tree: new error rates and testing strategies

Empirical Bayes Estimation of a Sparse Vector of Gene Expression Changes

Discussion of the Paper “Prediction, Estimation, and Attribution” by B. Efron

Detecting multiple replicating signals using adaptive filtering procedures

Transfer Learning in Genome-Wide Association Studies with Knockoffs

Bayesian Gaussian Mixture Models for High-Density Genotyping Arrays

Likelihood-Based Inference on Haplotype Effects in Genetic Association Studies

RECONSTRUCTING DNA COPY NUMBER BY PENALIZED ESTIMATION AND IMPUTATION

Semilinear High-Dimensional Model for Normalization of Microarray Data: A Theoretical Analysis and Partial Consistency

Generalised Gibbs sampler and multigrid Monte Carlo for Bayesian computation

SPARSE REGULATORY NETWORKS

Measuring Dependency With Volume Tests

Vocabulon: a dictionary model approach for reconstruction and localization of transcription factor binding sites

A generalized framework for network component analysis

Reconstructing ancestral haplotypes with a dictionary model

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